Available now from leading Book vendors and from Amazon
This book covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more. Many real world examples that leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution.
Offers expert insights and ideas as well as practical "hands-on" skills you can immediately put to use."...the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk." -Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010
Graphics processing units (GPUs) can do much more than render graphics. Scientists and researchers increasingly look to GPUs to improve the efficiency and performance of computationally-intensive experiments across a range of disciplines.
GPU Computing Gems: Emerald Edition brings their techniques to you, showcasing GPU-based solutions including: